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Instruction Selection [electronic resource] : Principles, Methods, and Applications / by Gabriel Hjort Blindell.

By: Hjort Blindell, Gabriel [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XVIII, 177 p. 44 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319340197.Subject(s): Computer science | Software engineering | Data structures (Computer science) | Algorithms | Artificial intelligence | Computer Science | Software Engineering/Programming and Operating Systems | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Data Structures, Cryptology and Information TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
Introduction -- Macro Expansion -- Tree Covering -- DAG Covering -- Graph Covering -- Conclusions.
In: Springer eBooksSummary: This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to instruction selection from the past 45 years are organized and discussed according to their fundamental principles, and according to the characteristics of the supported machine instructions. The fundamental principles are macro expansion, tree covering, DAG covering, and graph covering. The machine instruction characteristics introduced are single-output, multi-output, disjoint-output, inter-block, and interdependent machine instructions. The survey also examines problems that have yet to be addressed by existing approaches. The book is suitable for advanced undergraduate students in computer science, graduate students, practitioners, and researchers.
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Introduction -- Macro Expansion -- Tree Covering -- DAG Covering -- Graph Covering -- Conclusions.

This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to instruction selection from the past 45 years are organized and discussed according to their fundamental principles, and according to the characteristics of the supported machine instructions. The fundamental principles are macro expansion, tree covering, DAG covering, and graph covering. The machine instruction characteristics introduced are single-output, multi-output, disjoint-output, inter-block, and interdependent machine instructions. The survey also examines problems that have yet to be addressed by existing approaches. The book is suitable for advanced undergraduate students in computer science, graduate students, practitioners, and researchers.

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